How artificial intelligence affects the labour force employment structure from the perspective of industrial structure optimisation

被引:10
|
作者
Wang, Xiaowen [1 ]
Chen, Mingyue [1 ]
Chen, Nanxu [1 ]
机构
[1] Lanzhou Univ, Sch Econ, Lanzhou 730000, Peoples R China
关键词
Artificial intelligence; Industrial structure; Employment structure; Threshold effect; Eight economic regions; TECHNOLOGICAL-CHANGE; POLARIZATION; GROWTH; SKILL; JOBS; INNOVATION; ROBOTS;
D O I
10.1016/j.heliyon.2024.e26686
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
To investigate how artificial intelligence (AI) affects the structure of labour force employment, we integrate robotics adoption and employment into this study's model. Based on Chinese provincial panel data from 2010 to 2019, fixed, mediating and threshold effects models and a spatial heterogeneity model were used to empirically test the impact of AI on the employment structure from the perspective of industrial structure optimisation and its mechanisms of action. The findings demonstrate that the impact of AI on the labour force employment structure reflects unique characteristics for China and promotes the advancement of the nation's employment structure. The influence of AI on the labour force employment structure follows a non-linear pattern, fostering labour force employment structure optimisation and upgrading from the perspective of industrial structure optimisation. Further investigation reveals the influence of spatial spillover effects from AI on employment structure optimisation. These research findings have theoretical value and practical significance for optimising China's employment structure in the context of AI.
引用
收藏
页数:17
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